Loading...
You are here:  Home  >  Education Resources For Use & Management of Data  >  Data Daily | Data News  >  Current Article

Symantec Targeted Attack Analytics Enables Customers to Uncover Dangerous Cyber Attacks

By   /  April 17, 2018  /  No Comments

by Angela Guess

A new press release reports, “Symantec, the world’s leading cyber security company, announced today that the powerful threat detection technology used by its own world-class research teams to uncover some of the most notable cyber-attacks in history is now available to its Advanced Threat Protection (ATP) customers. The Symantec Targeted Attack Analytics (TAA) technology enables ATP customers to leverage advanced machine learning to automate the discovery of targeted attacks – the most dangerous intrusions in corporate networks. Targeted attacks represent one of the most dangerous threats to enterprise security today. Yet they are often hidden from view under a mountain of alerts generated by security systems, giving attackers time to gain access to systems and seize valuable data. TAA removes this distraction by identifying truly targeted activity and prioritizing it in the form of a highly reliable incident report for the security team.”

The release continues, “TAA is the result of an internal joint-effort between Symantec’s Attack Investigation Team, responsible for uncovering Stuxnet, Regin, Lazarus as well as links to SWIFT and WannaCry attacks among others, and a team of Symantec’s top security data scientists on the leading edge of machine learning research. Unlike traditional solutions, TAA takes the process, knowledge and capabilities of the world’s leading security experts and turns it into artificial intelligence, providing companies with elite “virtual analysts,” to allow security experts to devote their limited time and resources to the most critical attacks, instead of spending time sifting through false positives.”

Read more at Business Wire.

Photo credit: Symantec

You might also like...

A Brief History of Analytics

Read More →